20260409
10054900
1.0
FALSE
CountySurveys_OCRS_FinalFieldNames
002
0.000
-123.239219
-122.282378
41.958741
42.996648
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot (0.304800)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS["OCRS_Grants_Pass-Ashland_NAD_1983_2011_TM_Feet_Intl",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",164041.9947506562],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-123.3333333333333],PARAMETER["Scale_Factor",1.000043],PARAMETER["Latitude_Of_Origin",41.75],UNIT["Foot",0.3048],AUTHORITY["EPSG",6827]]</WKT><XOrigin>-18285300</XOrigin><YOrigin>-47987500</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>6827</WKID><LatestWKID>6827</LatestWKID></ProjectedCoordinateSystem>
OCRS_Grants_Pass-Ashland_NAD_1983_2011_TM_Feet_Intl
20260401
13271600
20260401
13271600
500000
5000
ItemDescription
Esri ArcGIS 13.5.5.57366
CountySurveys_OCRS_FinalFieldNames
1
-123.239219
-122.282378
42.996648
41.958741
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Polygons representing general boundaries of historical surveys in the possession of Jackson County Surveyor’s Office. The bulk of survey boundaries were digitized in 2013; new boundary polygons are added to the dataset as surveys are filed with the Surveyor’s Office.</SPAN></P></DIV></DIV></DIV>
This data set is intended for use as a reference map layer for GIS maps and applications.
Please extend credit to Jackson County GIS in any subsequent works derived from its data, such as maps.
Phoenix
Butte Falls
Jackson County
Rogue Valley
Oregon
Gold Hill
Medford
Southern Oregon
Shady Cove
Jacksonville
Central Point
Talent
Ashland
Eagle Point
Rogue River
<DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 11 0;"><SPAN>See the Jackson County Geographic Information Systems Data License of Limitations with respect to the sample data contained herein.</SPAN></P></DIV>
File Geodatabase Feature Class
0.000
dataset
EPSG
8.6(10.4.0)
0
Simple
FALSE
0
TRUE
FALSE
CountySurveys_OCRS_FinalFieldNames
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Survey_ID
Survey ID
String
20
0
0
SurveyType
Survey Type
String
16
0
0
SecondaryType
Secondary Type
String
50
0
0
SurveyNumber
Survey Number
Integer
4
0
0
Pre1979_Sub
Pre-1979 Subdivision
String
255
0
0
SubdivisionName
Subdivision Name
String
254
0
0
Partition
Partition
String
12
0
0
Surveyor
Surveyor
String
50
0
0
Client
Client
String
100
0
0
Pre1947_Survey
Pre-1947 Survey
String
50
0
0
BLM_AdminSurvey
BLM Admin Survey
String
50
0
0
Survey_Date
Survey Date
Date
8
0
0
SurveyDate_Only
Survey Date Only
DateOnly
8
0
0
Document_Link
Document Link
String
200
0
0
Format
Format
String
20
0
0
ClerkVolPg
Clerk Volume & Page
String
20
0
0
Maps
Assessment Maps
String
250
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260401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